Senior Data Analyst

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Thanks to products like Duo Enterprise, and Duo Workflow, customers get the benefit of AI at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier. All team members are encouraged and expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact across our global organisation.

An Overview of this Role

The Enterprise Data Team collaborates with every department at GitLab to develop trusted data products and responsibly harness the power of our data.

As a Senior Data Analyst, you will own the end-to-end development process for data products - from business requirements gathering, to dashboard development, to the delivery of actionable insights and recommendations. You will be in a highly cross-functional role with opportunities to partner with GitLab team members, both within the Enterprise Data Team (including Data Engineers, Analytics Engineers, and Data Scientists) as well as with our functional partners (including Sales, Marketing, Finance, Customer Success, and Product).

This role will specifically focus on the standardization of metrics for enterprise reporting, with expected outcomes of: reduced time to insight (making it faster and easier for internal users to find reporting for critical metrics) and increased internal alignment (partnering with analysts & the data governance team to establish clear enterprise reporting definitions and documentation).

What You’ll Do

• Collaborate cross-functionally to deeply understand business questions, and develop/launch single-source-of-truth reports and dashboards to address them
• Enable data-driven decision-making through the detection of trends, discovery of anomalies/nuances, and identification of potential opportunities for growth and improvement
• Craft enterprise reports and dashboards that meet our internal standards for style, maintainability, and best practices for a high-scale analytics environment. Maintain and advocate for these standards through code review.
• Partner with Data Engineering & Analytics Engineering to provide requirements for data model development
• Influence the long-range strategy and goals of the Analytics team
• Advocate for improvements to data quality, security, and performance across the data lifecycle
• Serve as a Subject Matter Expert (SME) for data visualization and analysis, providing support to other GitLab analysts through code reviews, pairing, and training to help deliver optimal analyses and reports
• Support business teams to maximize the value derived from customer and behavioral data

What You’ll Bring

• 5+ years experience in an analytics role, preferably in one or more of the following business subject areas: marketing, finance, sales, product, customer success. Prior experience with SaaS metrics & reporting is preferred but not a requirement.
• Fluent in SQL within analytical data warehouses (we use Snowflake SQL) and in business intelligence tools (preferably Tableau)
• Proficient in data visualization best practices, and an interest in evangelizing those practices across the organization
• Able to write complex SQL including multi-table joins, grouping and aggregation, common table expressions, and conditional filters
• Experience working with a variety of complex data sources. Our data includes GitLab.com, Salesforce, Zuora, Zendesk, Marketo, NetSuite, Snowplow and many others (see the Data Team page )
• Clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
• Effective communication and collaboration skills
• Ability to thrive in a fully remote organization
• Positive and solution-oriented mindset

The base salary range for this role’s listed level is currently for residents of listed locations only. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.